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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Can Adversarial Training Be Manipulated By Non-Robust Features? NIPS 2022
CoPur: Certifiably Robust Collaborative Inference via Feature Purification NIPS 2022
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders NIPS 2022
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack NIPS 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors NIPS 2022
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer ACL 2022
Robust Lottery Tickets for Pre-trained Language Models ACL 2022
Measuring and Mitigating Name Biases in Neural Machine Translation ACL 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection ACL 2022
On the Robustness of Offensive Language Classifiers ACL 2022
“That Is a Suspicious Reaction!”: Interpreting Logits Variation to Detect NLP Adversarial Attacks ACL 2022
Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation ACL 2022
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems ACL 2022
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training ACL 2022
Analyzing Dynamic Adversarial Training Data in the Limit ACL 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model ACL 2022
Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL 2022
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples ACL 2022
Class-Aware Adversarial Transformers for Medical Image Segmentation NIPS 2022
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NIPS 2022
Handcrafted Backdoors in Deep Neural Networks NIPS 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks NIPS 2022
Improved Gradient-Based Adversarial Attacks for Quantized Networks AAAI 2022
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning AAAI 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs AAAI 2022